from typing import Union

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
     from PIL import Image

     from ..image_utils import load_image

if is_torch_available():
     from ..models.auto.modeling_auto import MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING

_SCREAMING_SNAKE_CASE 		=      logging.get_logger(__name__)
@add_end_docstrings(__lowerCAmelCase		)
class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):







   def __init__(     self						:						Union[str, Any]   ,   *lowerCamelCase_						:						int   ,   **lowerCamelCase_						:						Optional[int]				):





    """simple docstring"""


    super().__init__(*lowerCamelCase_   ,   **lowerCamelCase_				)
    self.check_model_type(lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						int   ,   lowerCamelCase_						:						Optional[int]=None   ,   lowerCamelCase_						:						List[Any]=None   ,   lowerCamelCase_						:						Any=None   ,   **lowerCamelCase_						:						Optional[Any]				):





    """simple docstring"""


    UpperCamelCase  ,     UpperCamelCase			  =      {}, {}
    if padding is not None:
     UpperCamelCase			  =      padding
    if truncation is not None:
     UpperCamelCase			  =      truncation
    if top_k is not None:
     UpperCamelCase			  =      top_k
    return preprocess_params, {}, postprocess_params







   def __call__(     self						:						Dict   ,   lowerCamelCase_						:						Union["Image.Image", str]   ,   lowerCamelCase_						:						str = None   ,   **lowerCamelCase_						:						Dict				):





    """simple docstring"""


    if isinstance(lowerCamelCase_   ,   (Image.Image, str)				) and isinstance(lowerCamelCase_   ,   lowerCamelCase_				):
     UpperCamelCase			  =      {"""image""": image, """question""": question}
    else:
     UpperCamelCase			  =      image
    UpperCamelCase			  =      super().__call__(lowerCamelCase_   ,   **lowerCamelCase_				)
    return results







   def 						lowerCamelCase_	(     self						:						List[Any]   ,   lowerCamelCase_						:						List[Any]   ,   lowerCamelCase_						:						Union[str, Any]=False   ,   lowerCamelCase_						:						Any=False				):





    """simple docstring"""


    UpperCamelCase			  =      load_image(inputs["""image"""]				)
    UpperCamelCase			  =      self.tokenizer(
        inputs["""question"""]   ,   return_tensors=self.framework   ,   padding=lowerCamelCase_   ,   truncation=lowerCamelCase_				)
    UpperCamelCase			  =      self.image_processor(images=lowerCamelCase_   ,   return_tensors=self.framework				)
    model_inputs.update(lowerCamelCase_				)
    return model_inputs







   def 						lowerCamelCase_	(     self						:						Optional[Any]   ,   lowerCamelCase_						:						Dict				):





    """simple docstring"""


    UpperCamelCase			  =      self.model(**lowerCamelCase_				)
    return model_outputs







   def 						lowerCamelCase_	(     self						:						Any   ,   lowerCamelCase_						:						Dict   ,   lowerCamelCase_						:						List[Any]=5				):





    """simple docstring"""


    if top_k > self.model.config.num_labels:
     UpperCamelCase			  =      self.model.config.num_labels

    if self.framework == "pt":
     UpperCamelCase			  =      model_outputs.logits.sigmoid()[0]
     UpperCamelCase  ,     UpperCamelCase			  =      probs.topk(lowerCamelCase_				)
    else:
     raise ValueError(f"""Unsupported framework: {self.framework}"""				)

    UpperCamelCase			  =      scores.tolist()
    UpperCamelCase			  =      ids.tolist()
    return [{"score": score, "answer": self.model.config.idalabel[_id]} for score, _id in zip(lowerCamelCase_   ,   lowerCamelCase_				)]

_SCREAMING_SNAKE_CASE 		=      """ABCDEFGHIJKLMNOPQRSTUVWXYZ"""





def 			lowercase(	)		->	None:







 '''simple docstring'''
 UpperCamelCase			  =      input("""Enter message: """       )
 UpperCamelCase			  =      input("""Enter key [alphanumeric]: """       )
 UpperCamelCase			  =      input("""Encrypt/Decrypt [e/d]: """       )

 if mode.lower().startswith("""e"""       ):
  UpperCamelCase			  =      """encrypt"""
  UpperCamelCase			  =      encrypt_message(UpperCamelCase_							,					UpperCamelCase_       )
 elif mode.lower().startswith("""d"""       ):
  UpperCamelCase			  =      """decrypt"""
  UpperCamelCase			  =      decrypt_message(UpperCamelCase_							,					UpperCamelCase_       )

 print(f"""\n{mode.title()}ed message:"""       )
 print(UpperCamelCase_       )





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_       )		->	str:







 '''simple docstring'''
 return translate_message(UpperCamelCase_							,					UpperCamelCase_							,					"""encrypt"""       )





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_       )		->	str:







 '''simple docstring'''
 return translate_message(UpperCamelCase_							,					UpperCamelCase_							,					"""decrypt"""       )





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_       )		->	str:







 '''simple docstring'''
 UpperCamelCase			  =      []
 UpperCamelCase			  =      0
 UpperCamelCase			  =      key.upper()

 for symbol in message:
  UpperCamelCase			  =      LETTERS.find(symbol.upper()       )
  if num != -1:
   if mode == "encrypt":
    num += LETTERS.find(key[key_index]       )
   elif mode == "decrypt":
    num -= LETTERS.find(key[key_index]       )

   num %= len(UpperCamelCase_       )

   if symbol.isupper():
    translated.append(LETTERS[num]       )
   elif symbol.islower():
    translated.append(LETTERS[num].lower()       )

   key_index += 1
   if key_index == len(UpperCamelCase_       ):
    UpperCamelCase			  =      0
  else:
   translated.append(UpperCamelCase_       )
 return "".join(UpperCamelCase_       )


if __name__ == "__main__":
     main()
